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Paper 1: Testimonial

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1. Introduction to Data Science

Define data science
Explain how visualising data can help identify patterns and trends in order to help us gain insights
Use an appropriate software tool to visualise data sets and look for patterns or trends

Topic 1 - Delving into data science

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2. Understanding of the purpose of data science

Recognise examples of where large data sets are used in daily life
Select criteria and use data set to investigate predictions
Evaluate findings to support arguments for or against a prediction

Topic 3 - Statistical state of mind

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3. Problem, plan, data, analyse, conclusion

Define the terms ‘correlation’ and ‘outliers’ in relation to data trends
Identify the steps of the investigative cycle
Solve a problem by implementing steps of the investigative cycle on a data set
Use findings to support a recommendation

Topic 2 - Global Data

Topic 4 - Data for action

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4. Investigating a problem - investigative cycle

Identify the steps of the investigative cycle
Identify the data needed to answer a question defined by the learner
Create a data capture form

Topic 5 - Clean it up

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5. Investigative cycle

Describe the need for data cleansing
Apply data cleansing techniques to a data set
Visualise a data set

Topic 6 - Make a change

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6. School litter project

Visualise a data set

Analyse visualisations to identify patterns, trends, and outliers
Draw conclusions and report findings

Unit 15 - Data Science

This unit will take you on an eye-opening journey of discovery about techniques used by cybercriminals to steal data, disrupt systems, and infiltrate networks. You will start by considering the value of their data to organisations and what they might use it for. You will then look at social engineering techniques used by cybercriminals to try to trick users into giving away their personal data. The unit will look at the more common cybercrimes such as hacking, DDoS attacks, and malware, as well as looking at methods to protect ourselves and our networks against these attacks.

Assessment

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7. End of unit assessment

Reflection

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